Triple
T16027995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 北の丸公園 |
E388767
|
entity |
| Predicate | 整備目的 |
P40127
|
FINISHED |
| Object | 都市公園としての整備 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 都市公園としての整備 | Statement: [北の丸公園, 整備目的, 都市公園としての整備]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 整備目的 Context triple: [北の丸公園, 整備目的, 都市公園としての整備]
-
A.
purposeOfConstruction
chosen
Indicates that one entity was constructed or built in order to serve, enable, or fulfill the function, goal, or intended use represented by another entity.
-
B.
fleetPurpose
Indicates the primary function, role, or intended use of a fleet within a given context.
-
C.
hasReconstructionPurpose
Indicates that something exists or is performed with the specific aim or function of reconstruction (e.g., rebuilding, restoring, or re-creating something).
-
D.
operationalPurpose
Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
-
E.
purposeOfDestruction
Indicates that something is destroyed with the specific aim or intention of achieving a particular goal or outcome.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.